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Article: A fuzzy multi-criteria decision-making technique for evaluation of scheduling rules

TitleA fuzzy multi-criteria decision-making technique for evaluation of scheduling rules
Authors
KeywordsFlexible manufacturing system (FMS)
Fuzzy
Multi-criteria
Scheduling
Simulation
Issue Date2002
PublisherSpringer U K. The Journal's web site is located at http://www.springer.com/engineering/production+eng/journal/170
Citation
International Journal Of Advanced Manufacturing Technology, 2002, v. 20 n. 2, p. 103-113 How to Cite?
AbstractWhen examining manufacturing systems using simulation models, different combinations of scheduling rules can be applied to the models. Each combination satisfies a very limited number of performance measures. The problem now is "how to evaluate these combinations" and "how to reflect the weighting of each performance measure in the system". Evaluation of scheduling rules is an inevitable task for any scheduler. Only a few evaluation procedures of the results obtained from computer simulation were found in the literature. In this paper, a framework for the evaluation of combinations of scheduling rules has been developed using fuzzy multi-criteria decision-making techniques, which are called MAW, Max-Min, and Max-Max. A simulation model is used to illustrate the proposed techniques. The results are compared with a simple approach for multi-criteria decision-making method, which is called SAW. Results show that MAW is the best technique for obtaining a high score in the analysis.
Persistent Identifierhttp://hdl.handle.net/10722/74332
ISSN
2015 Impact Factor: 1.568
2015 SCImago Journal Rankings: 0.915
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorChan, HKen_HK
dc.contributor.authorKazeroon, Aen_HK
dc.date.accessioned2010-09-06T07:00:17Z-
dc.date.available2010-09-06T07:00:17Z-
dc.date.issued2002en_HK
dc.identifier.citationInternational Journal Of Advanced Manufacturing Technology, 2002, v. 20 n. 2, p. 103-113en_HK
dc.identifier.issn0268-3768en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74332-
dc.description.abstractWhen examining manufacturing systems using simulation models, different combinations of scheduling rules can be applied to the models. Each combination satisfies a very limited number of performance measures. The problem now is "how to evaluate these combinations" and "how to reflect the weighting of each performance measure in the system". Evaluation of scheduling rules is an inevitable task for any scheduler. Only a few evaluation procedures of the results obtained from computer simulation were found in the literature. In this paper, a framework for the evaluation of combinations of scheduling rules has been developed using fuzzy multi-criteria decision-making techniques, which are called MAW, Max-Min, and Max-Max. A simulation model is used to illustrate the proposed techniques. The results are compared with a simple approach for multi-criteria decision-making method, which is called SAW. Results show that MAW is the best technique for obtaining a high score in the analysis.en_HK
dc.languageengen_HK
dc.publisherSpringer U K. The Journal's web site is located at http://www.springer.com/engineering/production+eng/journal/170en_HK
dc.relation.ispartofInternational Journal of Advanced Manufacturing Technologyen_HK
dc.subjectFlexible manufacturing system (FMS)en_HK
dc.subjectFuzzyen_HK
dc.subjectMulti-criteriaen_HK
dc.subjectSchedulingen_HK
dc.subjectSimulationen_HK
dc.titleA fuzzy multi-criteria decision-making technique for evaluation of scheduling rulesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0268-3768&volume=20&spage=103&epage=113&date=2002&atitle=A+fuzzy+multi-criteria+decision-making+technique+for+evaluation+of+scheduling+rulesen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s001700200131en_HK
dc.identifier.scopuseid_2-s2.0-0036351302en_HK
dc.identifier.hkuros76065en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036351302&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume20en_HK
dc.identifier.issue2en_HK
dc.identifier.spage103en_HK
dc.identifier.epage113en_HK
dc.identifier.isiWOS:000177634900004-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridChan, HK=13104905800en_HK
dc.identifier.scopusauthoridKazeroon, A=15762321400en_HK

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